Evidence map›Paper›PMID 41177305›Full record

ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2025

Clinical feasibility of two cardiac deep learning cine magnetic resonance imaging sequences: Single-breath-hold and free-breathing motion-corrected approaches.

Huihui Kong, Zhaozhao Wang, Zekun Zhou, Dan Yu, Guang Li, Jinchen Li, Jianmin Yuan, Xiangming Li, Yi He

Abstract readComparative Study
In one paragraph

Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Huihui KongDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Zhaozhao WangDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Zekun ZhouDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Dan YuMR Research Collaboration, Shanghai United Imaging Healthcare Co., Ltd. Shanghai, China.
Guang LiAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China; R&D Center, Beijing Shuxi Technology Co., Ltd, Beijing, China.
Jinchen LiR&D Center, Beijing Shuxi Technology Co., Ltd, Beijing, China.
Jianmin YuanMR Research Collaboration, Shanghai United Imaging Healthcare Co., Ltd. Shanghai, China.
Xiangming LiDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Yi HeDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China. Electronic address: Heyi139@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCine cardiovascular magnetic resonance (CMR) faces the challenges of prolonged examination times and repeated breathhold (BH). This study evaluated the clinical feasibility of deep learning (DL)-accelerated cine sequences, which shorten the acquisition time (AT) while achieving comparable image quality (IQ) and function.

methodsThis prospective study included patients who underwent 3T CMR from August 2024 to March 2025. The examination included three cine sequences (2D segmented cine, 2D single-BH DL cine, and 2D free-breathing motion-corrected DL cine [FB-MOCO DL cine]). The actual total AT (including the time for short and long-axis scans, BH instructions, and resting time between BHs) was recorded. The overall IQ, blood pool to myocardium signal ratio (BMC), edge sharpness, three-dimensional volumetric mesh contour quality, biventricular cardiac function parameters, and left ventricular (LV) strain parameters were evaluated. The Friedman test was used to compare the above parameters among the three cine sequences. Correlation analysis and Bland-Altman analysis were used to evaluate the correlation and consistency between the two cine sequences.

resultsEighty-six patients were evaluated (52.98±14.34 years, 79% 68/86 male). Compared with segmented cine (239.70 [224.55, 260.15])s, the total AT of single-BH DL cine (63.55 [60.98, 66.00])s and FB-MOCO DL cine (90.65 [79.43, 103.80])s decreased by 73% and 62%, respectively. There were no statistically significant differences in overall IQ and biventricular functional parameters among the three cine sequences. The three-dimensional volumetric mesh contour scores of the single-BH DL cine and FB-MOCO DL cine were higher than those of the segmented cine (P<0.001 and 0.04), but the edge sharpness and BMC were lower than those of the segmented cine. The LV strain of the two fast cine sequences was lower than that of the segmented cine.

conclusionCompared with traditional segmented cine, DL-accelerated cine enables ventricular imaging in a shorter acquisition time, with preserved IQ and quantitative cardiac function results.

Indexed as

Breath HoldingDeep LearningHeart DiseasesImage Interpretation, Computer-AssistedMagnetic Resonance Imaging, CineVentricular Function, LeftAdultAgedFeasibility StudiesFemaleHumansMaleMiddle AgedPredictive Value of TestsProspective StudiesReproducibility of ResultsAccelerated imagingCineDeep learningFree-breathing

Identifiers

PMID41177305
PMCPMC12766484

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.